Outputs (194)

A comprehensive evaluation of incremental speech recognition and diarization for conversational AI (2020)
Presentation / Conference Contribution
Addlesee, A., Yu, Y., & Eshghi, A. (2020). A comprehensive evaluation of incremental speech recognition and diarization for conversational AI. In Proceedings of the 28th International Conference on Computational Linguistics (3492-3503)

Automatic Speech Recognition (ASR) systems are increasingly powerful and more accurate, but also more numerous with several options existing currently as a service (e.g. Google, IBM, and Microsoft). Currently the most stringent standards for such sys... Read More about A comprehensive evaluation of incremental speech recognition and diarization for conversational AI.

Energy Trading and Time Scheduling for Energy-Efficient Heterogeneous Low-Power IoT Networks (2020)
Presentation / Conference Contribution
Nguyen, N., Nguyen, D. N., Hoang, D. T., Van Huynh, N., Nguyen, H., Nguyen, Q. T., & Dutkiewicz, E. (2020, December). Energy Trading and Time Scheduling for Energy-Efficient Heterogeneous Low-Power IoT Networks. Presented at GLOBECOM 2020 - 2020 IEEE Global Communications Conference, Taipei, Taiwan

In this paper, an economic model is proposed to jointly optimize profits for participants in a heterogeneous IoT wireless-powered backscatter communication network. In the network under considerations, a power beacon and IoT devices (with various com... Read More about Energy Trading and Time Scheduling for Energy-Efficient Heterogeneous Low-Power IoT Networks.

Optimal Beam Association in mmWave Vehicular Networks with Parallel Reinforcement Learning (2020)
Presentation / Conference Contribution
Van Huynh, N., Nguyen, D. N., Hoang, D. T., & Dutkiewicz, E. (2020, December). Optimal Beam Association in mmWave Vehicular Networks with Parallel Reinforcement Learning. Presented at GLOBECOM 2020 - 2020 IEEE Global Communications Conference, Taipei, Taiwan

This paper develops a beam association framework for mm Wave vehicular networks to improve the system performance in terms of handover, disconnection time, and data rate under the high mobility of vehicles. In particular, we recruit the semi Markov d... Read More about Optimal Beam Association in mmWave Vehicular Networks with Parallel Reinforcement Learning.

An ML Model for Predicting Information Check-Worthiness using a Variety of Features (2020)
Presentation / Conference Contribution
Ullah, M. Z. (2020). An ML Model for Predicting Information Check-Worthiness using a Variety of Features. In Proceedings of the Workshop on Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media (56-61)

In this communication, we introduce the important problem of information check-worthiness. We present the method we developed to automatically answer this problem. This method makes use of an elaborated information representation that combines the “i... Read More about An ML Model for Predicting Information Check-Worthiness using a Variety of Features.

Exploiting various word embedding models for query expansion in microblog (2020)
Presentation / Conference Contribution
Ahmed, S., Chy, A. N., & Ullah, M. Z. (2020). Exploiting various word embedding models for query expansion in microblog. In 2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC). https://doi.org/10.1109/R10-HTC49770.2020.9357016

Microblogs, especially Twitter, make it easier to communicate with others in a real-time manner and is treated as a valuable information source. With the increasing amount of tweets, it would be fascinating to be able to extract essential information... Read More about Exploiting various word embedding models for query expansion in microblog.

Prediction and Visual Intelligence for Security Information: The PREVISION H2020 Project (2020)
Presentation / Conference Contribution
Demestichas, K., Hoang, T. B. N., Mothe, J., Teste, O., & Ullah, M. Z. (2020, July). Prediction and Visual Intelligence for Security Information: The PREVISION H2020 Project. Presented at CIRCLE'20, Samatan, France

This paper presents the on going work within PREVISION H2020 project. The mission of PREVISION is to empower the analysts and investigators of agencies with tools and solutions not commercially available today, to handle and capitalize on the massive... Read More about Prediction and Visual Intelligence for Security Information: The PREVISION H2020 Project.

Exploring Susceptibility Measures to Persuasion (2020)
Presentation / Conference Contribution
Vargheese, J. P., Collinson, M., & Masthoff, J. (2020, April). Exploring Susceptibility Measures to Persuasion. Presented at 15th International Conference on Persuasive Technology, Aalborg, Denmark

There is increasing evidence that indicates how personalising persuasive strategies may increase the effectiveness of persuasive technologies and behaviour change interventions. This has led to a wide range of studies exploring self reported, perceiv... Read More about Exploring Susceptibility Measures to Persuasion.

Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters (2020)
Presentation / Conference Contribution
Briggs, C., Fan, Z., & Andras, P. (2020). Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters. In NeurIPS 2020 Workshop: Tackling Climate Change with Machine Learning

In this proposal paper we highlight the need for privacy preserving energy demand forecasting to allay a major concern consumers have about smart meter installations. High resolution smart meter data can expose many private aspects of a consumer’s ho... Read More about Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters.

Indoor Characterization of Genetically Optimized Circular Rotational Square Hyperboloid (GOCRSH) Concentrator (2020)
Presentation / Conference Contribution
Raine, C. F., Muhammad-Sukki, F., Ramirez-Iniguez, R., Jafry, T., Ardila-Rey, J. A., & Gamio, C. (2020, June). Indoor Characterization of Genetically Optimized Circular Rotational Square Hyperboloid (GOCRSH) Concentrator. Presented at 2020 IEEE 47th Photovoltaic Specialists Conference (PVSC), Calgary, OR, Canada

This paper evaluates the performance of a genetically optimized circular rotational square hyperboloid (GOCRSH) concentrator for low-concentrating photovoltaic (PV) application. The experimental analysis of 4 types of GOCRSH namely the GOCRSH_A GOCRS... Read More about Indoor Characterization of Genetically Optimized Circular Rotational Square Hyperboloid (GOCRSH) Concentrator.

Hardware Design for Autonomous Robot Evolution (2020)
Presentation / Conference Contribution
Hale, M. F., Angus, M., Buchanan, E., Li, W., Woolley, R., Le Goff, L. K., De Carlo, M., Timmis, J., Winfield, A. F., Hart, E., Eiben, A. E., & Tyrrell, A. M. (2020, December). Hardware Design for Autonomous Robot Evolution. Presented at International Conference on Evolvable Hardware, Canberra Australia

The long term goal of the Autonomous Robot Evolution (ARE) project is to create populations of physical robots, in which both the controllers and body plans are evolved. The transition for evolutionary designs from purely simulation environments into... Read More about Hardware Design for Autonomous Robot Evolution.